<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Watanabe T</submitter><funding>Naito Foundation</funding><funding>Tokai University Tokuda Memorial Cancer/Genome Basic Research Grant</funding><funding>Tokai University School of Medicine Research Aid</funding><funding>Uehara Memorial Foundation</funding><funding>Tokai University School of Medicine Project Research</funding><funding>Japan Society for the Promotion of Science</funding><pagination>437-442</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12687464</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>74(6)</volume><pubmed_abstract>Scientific research relies on microscopy. However, manual image acquisition and analysis are inefficient and susceptible to errors. Fully automated workflows are often task-specific, and current AI-based systems are costly and may face difficulties in new scenarios. Here, we introduce a semi-automated system utilizing macro keyboards to streamline workflows. Programming multi-action keys for tasks such as focusing, image capture and data analysis reduces the manual input, boosting efficiency and accuracy. This intuitive system saves time for both experienced users and trainees. This cost-effective solution improves accessibility, flexibility and usability, supporting not only diverse imaging applications but also broader scientific instrumentation processes.</pubmed_abstract><journal>Microscopy (Oxford, England)</journal><pubmed_title>Semi-automated image acquisition and analyses for broad users utilizing macro keyboards.</pubmed_title><pmcid>PMC12687464</pmcid><funding_grant_id>15K21771 19K06493 23K21303 24K15292</funding_grant_id><pubmed_authors>Watanabe T</pubmed_authors><pubmed_authors>Taniguchi T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Semi-automated image acquisition and analyses for broad users utilizing macro keyboards.</name><description>Scientific research relies on microscopy. However, manual image acquisition and analysis are inefficient and susceptible to errors. Fully automated workflows are often task-specific, and current AI-based systems are costly and may face difficulties in new scenarios. Here, we introduce a semi-automated system utilizing macro keyboards to streamline workflows. Programming multi-action keys for tasks such as focusing, image capture and data analysis reduces the manual input, boosting efficiency and accuracy. This intuitive system saves time for both experienced users and trainees. This cost-effective solution improves accessibility, flexibility and usability, supporting not only diverse imaging applications but also broader scientific instrumentation processes.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-12T03:14:24.537Z</modification><creation>2026-06-12T03:08:09.511Z</creation></dates><accession>S-EPMC12687464</accession><cross_references><pubmed>40176729</pubmed><doi>10.1093/jmicro/dfaf018</doi></cross_references></HashMap>